The Resource Bioinformatics Methods in Clinical Research, edited by Rune Matthiesen, (electronic resource)

Bioinformatics Methods in Clinical Research, edited by Rune Matthiesen, (electronic resource)

Label
Bioinformatics Methods in Clinical Research
Title
Bioinformatics Methods in Clinical Research
Statement of responsibility
edited by Rune Matthiesen
Contributor
Editor
Editor
Subject
Language
  • eng
  • eng
Summary
Integrated bioinformatics solutions have become increasingly valuable in past years, as technological advances have allowed researchers to consider the potential of omics for clinical diagnosis, prognosis, and therapeutic purposes, and as the costs of such techniques have begun to lessen. In Bioinformatics Methods in Clinical Research, experts examine the latest developments impacting clinical omics, and describe in great detail the algorithms that are currently used in publicly available software tools. Chapters discuss statistics, algorithms, automated methods of data retrieval, and experimental consideration in genomics, transcriptomics, proteomics, and metabolomics. Composed in the highly successful Methods in Molecular BiologyTM series format, each chapter contains a brief introduction, provides practical examples illustrating methods, results, and conclusions from data mining strategies wherever possible, and includes a Notes section which shares tips on troubleshooting and avoiding known pitfalls. Informative and ground-breaking, Bioinformatics Methods in Clinical Research establishes a much-needed bridge between theory and practice, making it an indispensable resource for bioinformatics researchers
Member of
Dewey number
616.0072
http://bibfra.me/vocab/relation/httpidlocgovvocabularyrelatorsedt
MqgdXGUhYNU
Image bit depth
0
Language note
English
LC call number
QH324.2-324.25
Literary form
non fiction
http://library.link/vocab/relatedWorkOrContributorName
Matthiesen, Rune.
Series statement
Methods in Molecular Biology,
Series volume
593
http://library.link/vocab/subjectName
  • Bioinformatics
  • Biological models
  • Bioinformatics
  • Systems Biology
Label
Bioinformatics Methods in Clinical Research, edited by Rune Matthiesen, (electronic resource)
Instantiates
Publication
Note
Bibliographic Level Mode of Issuance: Monograph
Antecedent source
mixed
Carrier category
online resource
Carrier category code
  • cr
Color
not applicable
Content category
text
Content type code
  • txt
Contents
to Omics -- Machine Learning: An Indispensable Tool in Bioinformatics -- SNP-PHAGE: High-Throughput SNP Discovery Pipeline -- R Classes and Methods for SNP Array Data -- Overview on Techniques in Cluster Analysis -- Nonalcoholic Steatohepatitis, Animal Models, and Biomarkers: What Is New? -- Biomarkers in Breast Cancer -- Genome-Wide Proximal Promoter Analysis and Interpretation -- Proteomics Facing the Combinatorial Problem -- Methods and Algorithms for Relative Quantitative Proteomics by Mass Spectrometry -- Feature Selection and Machine Learning with Mass Spectrometry Data -- Computational Methods for Analysis of Two-Dimensional Gels -- Mass Spectrometry in Epigenetic Research -- Computational Approaches to Metabolomics -- Algorithms and Methods for Correlating Experimental Results with Annotation Databases -- Analysis of Biological Processes and Diseases Using Text Mining Approaches
Dimensions
unknown
Edition
1st ed. 2010.
Extent
1 online resource (X, 390 p. 63 illus.)
File format
multiple file formats
Form of item
online
Isbn
9781603271943
Level of compression
uncompressed
Media category
computer
Media type code
  • c
Other control number
10.1007/978-1-60327-194-3
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
  • (CKB)1000000000813023
  • (SSID)ssj0000372827
  • (PQKBManifestationID)11262884
  • (PQKBTitleCode)TC0000372827
  • (PQKBWorkID)10423012
  • (PQKB)10492211
  • (DE-He213)978-1-60327-194-3
  • (EXLCZ)991000000000813023
Label
Bioinformatics Methods in Clinical Research, edited by Rune Matthiesen, (electronic resource)
Publication
Note
Bibliographic Level Mode of Issuance: Monograph
Antecedent source
mixed
Carrier category
online resource
Carrier category code
  • cr
Color
not applicable
Content category
text
Content type code
  • txt
Contents
to Omics -- Machine Learning: An Indispensable Tool in Bioinformatics -- SNP-PHAGE: High-Throughput SNP Discovery Pipeline -- R Classes and Methods for SNP Array Data -- Overview on Techniques in Cluster Analysis -- Nonalcoholic Steatohepatitis, Animal Models, and Biomarkers: What Is New? -- Biomarkers in Breast Cancer -- Genome-Wide Proximal Promoter Analysis and Interpretation -- Proteomics Facing the Combinatorial Problem -- Methods and Algorithms for Relative Quantitative Proteomics by Mass Spectrometry -- Feature Selection and Machine Learning with Mass Spectrometry Data -- Computational Methods for Analysis of Two-Dimensional Gels -- Mass Spectrometry in Epigenetic Research -- Computational Approaches to Metabolomics -- Algorithms and Methods for Correlating Experimental Results with Annotation Databases -- Analysis of Biological Processes and Diseases Using Text Mining Approaches
Dimensions
unknown
Edition
1st ed. 2010.
Extent
1 online resource (X, 390 p. 63 illus.)
File format
multiple file formats
Form of item
online
Isbn
9781603271943
Level of compression
uncompressed
Media category
computer
Media type code
  • c
Other control number
10.1007/978-1-60327-194-3
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
  • (CKB)1000000000813023
  • (SSID)ssj0000372827
  • (PQKBManifestationID)11262884
  • (PQKBTitleCode)TC0000372827
  • (PQKBWorkID)10423012
  • (PQKB)10492211
  • (DE-He213)978-1-60327-194-3
  • (EXLCZ)991000000000813023

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